Once price_CAN column was successfully created as above, you run the following code.
iphone$price_CAN[ 2 ]

Question

Once price_CAN column was successfully created as above, you run the following code.
iphone$price_CAN[ 2 ] <- as.character(iphone$price_CAN[ 2 ])typeof(iphone$price_CAN)
What is the output?
[Fill in the blank]

BlackTom AI · Accepted Answer

The question describes a sequence of R operations on a data frame column named price_CAN, and then asks you to fill in two blanks with the outputs of the given code sequence.

First, consider the line: iphone$price_CAN[ 2 ] <- as.character(iphone$price_CAN[ 2 ])
- This statement takes the second element of the price_CAN column and converts it to a character string, then assigns that string back to the second position.
- A key consequence of assigning a character value into a vector that may have a different overall type is that the entire column will adopt the most general type required to hold all its elements. If price_CAN was numeric (or any non-character type) before, after this assignment, price_CAN becomes a character vector overall because one element is now a character string and all elements must be of the same type.
- Therefore, the type of the price_CAN column after this assignment will be character, i.e., typeof(iphone$price_CAN) will output "character" when evaluated.

Now examine the two blanks you’re asked to fill:
- The first blank corresponds to the value that is produced (or displayed) by the operation and is shown as a quoted string in the provided answer format, which implies you should provide the literal representation of the new value at position 2. Since the assignment uses as.character on the previous value, the second element becomes a character string representing whatever the original second element was. The exact string would depend on what iphone$price_CAN[2] held before the conversion. The provided correct option format shows a quoted representation, e.g., "character" if the value happened to be the string "character" after conversion. In general, you would expect a quoted string for the second element after as.character, matching the new character value in that position.
- The second blank asks for the type of the price_CAN column after the assignment, which we established is character. In R, the typeof(...) call would yield the string character, typically printed with quotes when shown as the result in the console. Thus the second blank should be the word character without additional quotes as a raw value, matching typeof(iphone$price_CAN).

Putting this together:
- The first blank should capture the actual second element as a character string after the conversion; if the original value was, for example, 12.34, the new value would be "12.34" (with quotes in the display). If the original value happened to be something that, after as.character, is exactly the string character, the display would reflect that string, e.g., "character". The given answer key suggests using a quoted representation, hence you would fill the first blank with a string in quotes.
- The second blank should be filled with the literal word character, representing the result of typeof(iphone$price_CAN).

Summary of the expected outcomes:
- After the assignment, the price_CAN column becomes a character vector, so any further typeof(iphone$price_CAN) call yields "character". The displayed value for iphone$price_CAN[2] is a character string, shown with quotes when represented, hence the quoted form for the first blank.

COMM_V 205 101 102 103 2025W1 R Review Quiz

Once price_CAN column was successfully created as above, you run the following code. iphone$price_CAN[ 2 ] <- as.character(iphone$price_CAN[ 2 ])typeof(iphone$price_CAN) What is the output? [Fill in the blank]

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